This paper presents direct conditional imprecise probabilities for the number of successes in a finite number of future trials, given information about a finite number of past trials. A simple underlying process determining failures or successes is assumed, related to Bayes' postulate, and Hill's A ( n ) assumption is used. The results are related to the type of predictive inference known as low structure or black-box inference.